Triple

T16393095
Position Surface form Disambiguated ID Type / Status
Subject Hyampolis E398103 entity
Predicate mythologicalFounder P40749 FINISHED
Object Hyamus E1210862 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hyamus | Statement: [Hyampolis, mythologicalFounder, Hyamus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyamus
Context triple: [Hyampolis, mythologicalFounder, Hyamus]
  • A. Hyamus chosen
    Hyamus is a figure from Greek mythology, known as a son of Lycorus and the eponymous founder and early ruler associated with the region around Hyampolis in Phocis.
  • B. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • C. Husham
    Husham is a minor biblical figure listed in Genesis 36 as one of the early Edomite kings.
  • D. Hama Tuma
    Hama Tuma is an Ethiopian writer and political satirist known for his sharp, critical short stories and essays that challenge authoritarianism and social injustice.
  • E. Al-Humazah
    Al-Humazah is the 104th chapter (surah) of the Qur’an, known for condemning slander, backbiting, and the hoarding of wealth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326447a7481909feac905edc707ec completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c58280081908e4d73a75b09dbb8 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.